Triple
T26738896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibbidi Bobbidi Boutique |
E674189
|
entity |
| Predicate | staffTitle |
P38167
|
FINISHED |
| Object | Fairy Godmother-in-Training |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fairy Godmother-in-Training | Statement: [Bibbidi Bobbidi Boutique, staffTitle, Fairy Godmother-in-Training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffTitle Context triple: [Bibbidi Bobbidi Boutique, staffTitle, Fairy Godmother-in-Training]
-
A.
staffPosition
Indicates the specific role or job position that a staff member holds within an organization.
-
B.
titleOrRole
chosen
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
C.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
D.
holderFullTitle
Indicates that one entity is the complete, formal title or designation held by another entity.
-
E.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618469dc081908c9db3b9d1f5bb4c |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:48 a.m.